Abstract
This chapter concludes the presentation of the generic pipelined architecture of Information Extraction (IE) systems, by presenting its domain dependent part.
After preparation and enrichment, the document’s contents are now characterized and suitable to be processed to locate and extract information. This chapter explains how this can be performed, addressing both extraction of entities and relations between entities.
Identifying entities mentioned in texts is a pervasive task in IE. It is called Named Entity Recognition (NER) and seeks to locate and classify textual mentions that refer to specific types of entities, such as, for example, persons, organizations, addresses and dates.
The chapter also dedicates attention to how to store the extracted information and how to take advantage of semantics to improve the information extraction process, presenting the basis of Ontology-Based Information Extraction (OBIE) systems.
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Rodrigues, M., Teixeira, A. (2015). Identifying Things, Relations, and Semantizing Data. In: Advanced Applications of Natural Language Processing for Performing Information Extraction. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-15563-0_3
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